tag:joss.theoj.org,2005:/papers/tagged/daeJournal of Open Source Software2022-08-12T21:53:58ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/35222022-08-12T21:53:58Z2022-08-15T19:37:10ZGenerative DAGs as an Interface Into Probabilistic Programming with the R Package causactacceptedv0.4.12022-04-27 21:11:31 UTC762022-08-12 21:53:58 UTC720224415AdamJ.FleischhackerAdam Fleischhacker, JP Morgan Chase Faculty Fellow, University of Delaware, Newark, DE 197160000-0003-2871-4788ThiHong NhungNguyenInstitute for Financial Services Analytics, University of Delaware, Newark, DE 1971610.21105/joss.04415https://doi.org/10.5281/zenodo.6949489Rhttps://joss.theoj.org/papers/10.21105/joss.04415.pdfBayesian inference, probabilistic programming, graphical models, directed acyclic graphstag:joss.theoj.org,2005:Paper/34452022-08-05T17:32:17Z2022-10-11T07:21:04ZGRAPL: A computational library for nonparametric structural causal modelling, analysis and inferenceacceptedv1.32022-03-29 00:23:34 UTC762022-08-05 17:32:17 UTC720224534MaxA.LittleSchool of Computer Science, University of Birmingham, UK, MIT, Cambridge, MA, USA0000-0002-1507-382210.21105/joss.04534https://doi.org/10.5281/zenodo.6959433Pythonhttps://joss.theoj.org/papers/10.21105/joss.04534.pdfstructural causal models, causal inference, DAGs, ADMGstag:joss.theoj.org,2005:Paper/9312019-06-24T13:53:18Z2021-02-15T11:32:23Ztreex: a Python package for manipulating rooted treesacceptedv1.1.32019-03-18 15:54:42 UTC382019-06-24 13:53:18 UTC420191351RomainAzaisLaboratoire Reproduction et Developpement des Plantes, Univ Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, Inria, F-69342, Lyon, France0000-0002-5234-1822GuillaumeCeruttiLaboratoire Reproduction et Developpement des Plantes, Univ Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, Inria, F-69342, Lyon, France0000-0003-2003-9335DidierGemmerle;Universite de Lorraine, CNRS, IECL, F-54000 Nancy, FranceFlorianIngelsLaboratoire Reproduction et Developpement des Plantes, Univ Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, Inria, F-69342, Lyon, France10.21105/joss.01351https://doi.org/10.5281/zenodo.3254416Pythonhttps://joss.theoj.org/papers/10.21105/joss.01351.pdftrees, DAG compression, coding processes, edit distance, self-nested approximation, visualizationtag:joss.theoj.org,2005:Paper/9542019-06-18T11:20:00Z2021-02-15T11:32:19Zlabjack-controller: Robust and Easy Data Collection with Labjack T-Series DAQs in Pythonaccepted0.32019-04-10 14:08:51 UTC382019-06-18 11:20:00 UTC420191448BenjaminA.MontgomeryUniversity of Southern Maine0000-0002-1240-5385PaulA.NakroshisUniversity of Southern Maine0000-0003-1887-354X10.21105/joss.01448https://doi.org/10.5281/zenodo.3247140Pythonhttps://joss.theoj.org/papers/10.21105/joss.01448.pdfexperimental, daq, labjack, paralleltag:joss.theoj.org,2005:Paper/1392018-02-23T11:35:14Z2021-02-15T11:34:18ZODES: a high level interface to ODE and DAE solversacceptedv2.3.02017-01-06 10:23:47 UTC222018-02-23 11:35:14 UTC32018165BennyMalengierGhent University0000-0001-8383-8068PavolKiĊĦonGhent UniversityJamesTocknellMacquarie University0000-0001-6637-6922ClaasAbertUniversity of Vienna0000-0002-4999-0311FlorianBrucknerUniversity of Vienna0000-0001-7778-6855Marc-AntonioBisottiUniversity of Southampton10.21105/joss.00165https://doi.org/10.5281/zenodo.1183272Pythonhttps://joss.theoj.org/papers/10.21105/joss.00165.pdfode, dae, sundials, root finding